统计分析中Type I Error与Type II Error的区别 在统计分析中,经常提到Type I Error和Type II Error.他们的基本概念是什么?有什么区别? 下面的表格显示 between truth/falseness of the null hypothesis and outcomes of the test " -------|-------|------- | Judgement of Null Hypothesis H0 | Valid | Invalid |
hbase伪分布式,与zookeeper同一台机器的时候,运行一段时间,启动zookeeper的时候,日志中有如下错误,导致无法启动zookeeper java.io.IOException: Failed to process transaction type: 2 error: KeeperErrorCode = NoNode for /hbase/unassigned at org.apache.zookeeper.server.persistence.FileTxnSnapLog.res
在maven中构建项目的时候发现了如下错误: Description Resource Path Location Type An error occurred while filtering resources TESTVIDEO line 解决方法,鼠标放在项目上:右键 选择maven 然后 update project 试试
错误信息 [ERROR ] Error parsing configuration file: /etc/salt/minion - conf should be a document, not <type 'str'>. [ERROR ] DNS lookup of 'salt' failed. 修改minion文件的master是漏了空格 #master: salt 应该修改为 master:空格ip
用来获取JavaScript数据类型[[Class]]的对象 <!DOCTYPE html> <html> <head> <script src="http://code.jquery.com/jquery-latest.js"></script> </head> <body> Is it a RegExp? <b></b> <script>$("b&quo
this is the problem with latest adt that is 20.0.3. you can instead rename the *.9.png to *.png and start working. i think this is the bug with the adt only, since for 18.0.0 version adt it doesnt prompts for this type of error and works fine 就是把.9.p
偶尔能看懂,但是死活记不住,归根结底是没有彻底理解! Type I and type II errors - wiki type I error is the rejection of a true nullhypothesis (also known as a "false positive" finding), type II error is failing to reject a false null hypothesis (also known as a "fals